We first evaluated the performance of the proposed CLPU-Net.
Then, we compared our model with probabilistic U-Net, VAE, Joint-VAE [1]} to confirm the validity of learning with ultrasound and segmentation images.
The VAE and Joint-VAE were trained using segmentation images and inferred using ultrasound images.
The CLPU-Net and probabilistic U-Net were trained using ultrasound and segmentation images and inferred using ultrasound images.
tab:IoU illustrates the qualitative results.
Each metric was averaged for all six patterns of the k-fold cross-validation.
The proposed CLPU-Net was marked highest in all metrics of the four models.
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